Development of methods based on double Hough transform or Gabor filtering to discriminate between crop and weed in agronomic images

Jérémie Bossu; Christelle Gée; Jean-Philippe Guillemin; Frédéric Truchetet

doi:10.1117/12.642908

9 February 2006 Development of methods based on double Hough transform or Gabor filtering to discriminate between crop and weed in agronomic images

Jérémie Bossu, Christelle Gée, Jean-Philippe Guillemin, Frédéric Truchetet

Author Affiliations +

Proceedings Volume 6070, Machine Vision Applications in Industrial Inspection XIV; 60700N (2006) https://doi.org/10.1117/12.642908
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

This paper presents two spatial methods to discriminate between crop and weeds. The application is related to agronomic image with perspective crop rows. The first method uses a double Hough Transform permitting a detection of crop rows and a classification between crop and weeds. The second method is based on Gabor filtering, a band pass filter. The parameters of this filter are detected from a Fast Fourier Transform of the image. For each method, a weed infestation rate is obtained. The two methods are compared and a discussion concludes about the abilities of these methods to detect the crop rows in agronomic images. Finally, we discuss this method regarding the capability of the spatial approach for classifying weeds from crop.

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Jérémie Bossu, Christelle Gée, Jean-Philippe Guillemin, and Frédéric Truchetet "Development of methods based on double Hough transform or Gabor filtering to discriminate between crop and weed in agronomic images", Proc. SPIE 6070, Machine Vision Applications in Industrial Inspection XIV, 60700N (9 February 2006); https://doi.org/10.1117/12.642908

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